MCP Audio RAG Server

MCP Audio RAG Server

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

Category
访问服务器

README

MCP Audio RAG Server

Transform your audio files into a searchable knowledge base using AI. Ask Claude questions about your meetings, podcasts, lectures, or any audio content.

<p align="center"> <a href="https://www.buymeacoffee.com/matheusslg" target="_blank"> <img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="50"> </a> </p>

What is this?

This is an MCP (Model Context Protocol) server that lets you:

  1. Transcribe any audio file using Google's Gemini AI
  2. Store the transcriptions in a searchable database
  3. Search through all your audio content using natural language

Once set up, you can simply ask Claude things like:

  • "What did they discuss about the budget in my meeting recording?"
  • "Find mentions of machine learning in my podcast collection"
  • "What were the key points from yesterday's lecture?"

How It Works

┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│ Audio File  │ ──▶ │   Gemini    │ ──▶ │  Chunking   │ ──▶ │  Supabase   │
│ (.mp3, etc) │     │ Transcribe  │     │ + Embedding │     │  (pgvector) │
└─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘
                                                                   │
┌─────────────┐     ┌─────────────┐     ┌─────────────┐            │
│   Claude    │ ◀── │   Results   │ ◀── │   Search    │ ◀──────────┘
│  Response   │     │ + Snippets  │     │   Query     │
└─────────────┘     └─────────────┘     └─────────────┘

Quick Start

Prerequisites

Step 1: Clone & Install

git clone https://github.com/matheusslg/mcp-audio-rag.git
cd mcp-audio-rag
npm install

Step 2: Set Up Supabase Database

  1. Create a new project at supabase.com
  2. Go to SQL Editor in your dashboard
  3. Paste and run the contents of supabase/schema.sql

Step 3: Get Your API Keys

Supabase (Settings → API):

  • Copy Project URLSUPABASE_URL
  • Copy service_role keySUPABASE_SERVICE_KEY

Google AI Studio:

Step 4: Configure

cp .env.example .env

Edit .env:

GEMINI_API_KEY=your-key-here
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_SERVICE_KEY=your-service-role-key

Step 5: Add to Claude

For Claude Code CLI (~/.claude.json):

{
  "mcpServers": {
    "audio-rag": {
      "command": "npx",
      "args": ["tsx", "/full/path/to/mcp-audio-rag/src/server.ts"],
      "env": {
        "GEMINI_API_KEY": "your-key",
        "SUPABASE_URL": "https://your-project.supabase.co",
        "SUPABASE_SERVICE_KEY": "your-service-role-key"
      }
    }
  }
}

For Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

Same config as above.

Usage

Transcribe Audio

Just tell Claude to transcribe a file:

Transcribe /path/to/meeting.mp3

Want to use a specific model? Just ask:

Transcribe /path/to/lecture.m4a using gemini-2.5-pro

Search Your Audio

Ask natural questions:

What did they say about the project timeline?
Search for mentions of "budget" in my recordings
Find discussions about AI in my podcasts

Manage Your Library

List all my transcribed audio files
Delete the recording from last week
Get the full transcript of meeting.mp3
Summarize the podcast episode

Available Models

Model Best For
gemini-2.5-flash Default - Fast & accurate, great balance
gemini-2.5-flash-lite Fastest, cheapest - good for bulk processing
gemini-2.5-pro Best quality - complex audio, multiple speakers
gemini-3-pro-preview Newest - cutting edge capabilities
gemini-2.0-flash Reliable - previous generation
gemini-2.0-flash-lite Fast - previous generation

Supported Audio Formats

.mp3 .mp4 .m4a .wav .webm .mpeg .mpga

Available Tools

Tool Description
ingest_audio Transcribe and store an audio file
search_transcripts Search through your audio using natural language
list_transcripts List all transcribed audio files
get_full_transcript Get the complete transcript of a file
summarize_audio Generate an AI summary of a transcript
delete_transcript Remove a transcribed file from the database

Troubleshooting

Problem Solution
"No relevant segments found" Try rephrasing your search, or check if audio was ingested
"Missing environment variable" Check your .env file or Claude config has all 3 keys
Supabase errors Make sure you're using service_role key, not anon key
Slow transcription Use gemini-2.5-flash-lite for faster processing

Support This Project

If this project saved you time or helped you out, consider buying me a coffee!

<a href="https://www.buymeacoffee.com/matheusslg" target="_blank"> <img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="50"> </a>

License

MIT - Use it however you want!


<p align="center"> Made with Gemini + Supabase + Claude </p>

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选